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Abstract: Data mining is the search for relationships and global patterns that exist in large databases, but are `hidden' among the vast amounts of data, such as a relationship between patient data and their medical diagnosis. These relationships represent valuable knowledge about the database and objects in the database and, if the database is a faithful mirror, of the real world registered by the database. One of the main problems for data mining is that the number of possible relationships is very... (Update)
Context of citations to this paper: More
...from data. They are also useful to visualize non linear interaction of variables. There are several data mining methods (see overviews [HAS94, CHY96, GG99, Hall99] and determination of which to apply can be decided by the quality of the data, the situation, and the...
.... data mining infers statements that are supported by the database as opposed to statements that can be proved with respect to the database [3]. Data mining is the process of generating high level statements that have acceptable certainty and are also interesting from a database...
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BibTeX entry: (Update)
Holsheimer, M. and Siebes, A. Data Mining: The Search for Knowledge in Databases, Report CS-R9406, ISSN 0169-118X, Amersterdam, The Netherlands 1991. http://citeseer.ist.psu.edu/holsheimer91data.html More
@techreport{ holsheimer94data,
author = "Marcel Holsheimer and Arno P. J. M. Siebes",
title = "Data Mining: The Search for Knowledge in Databases",
number = "CS-R9406",
address = "P.O. Box 94079, 1090 GB Amsterdam",
year = "1994",
url = "citeseer.ist.psu.edu/holsheimer91data.html" }
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981 Principles of database and knowledge-base systems (context) - Ullman - 1989 ACM
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